
Simao Seica contributed to DataDog/dd-sdk-ios by engineering robust telemetry, profiling, and performance monitoring features for the iOS SDK. He delivered enhancements such as RUM app hitches detection, profiling telemetry with dynamic sampling, and multi-instance data persistence, focusing on reliability and observability. His technical approach emphasized API design, Objective-C and Swift interoperability, and rigorous test automation, including CI/CD and integration testing. Simao refactored core modules, improved memory safety, and streamlined release workflows, enabling accurate data collection and smoother upgrades. His work demonstrated depth in mobile SDK development, data modeling, and system programming, resulting in a maintainable, production-ready codebase.

February 2026 monthly summary for DataDog/dd-sdk-ios: Focused on delivering external usability, configurable performance, and clear release notes. Key outcomes include exposing public API surface from DatadogInternal to enable external usage of core components, introducing flexible performanceOverride controls for configurable tuning, and updating the changelog to reflect automatic network instrumentation and API deprecations. These efforts reduce integration friction, enable external usage of core components, and improve transparency around changes and deprecations.
February 2026 monthly summary for DataDog/dd-sdk-ios: Focused on delivering external usability, configurable performance, and clear release notes. Key outcomes include exposing public API surface from DatadogInternal to enable external usage of core components, introducing flexible performanceOverride controls for configurable tuning, and updating the changelog to reflect automatic network instrumentation and API deprecations. These efforts reduce integration friction, enable external usage of core components, and improve transparency around changes and deprecations.
January 2026 — DataDog/dd-sdk-ios delivered a set of profiling, UI performance, and release-readiness enhancements. Key features added include TTID/TTFD telemetry, UI Slowness visibility by default, and comprehensive Profiling API updates. Major stability fixes were implemented to improve data quality and runtime robustness. The team also advanced release readiness with changelog hygiene and version bumps, ensuring a smoother go-to-market for the 3.6.x releases. These changes reduce overhead, improve observability, and strengthen platform reliability for iOS apps using the DataDog SDK.
January 2026 — DataDog/dd-sdk-ios delivered a set of profiling, UI performance, and release-readiness enhancements. Key features added include TTID/TTFD telemetry, UI Slowness visibility by default, and comprehensive Profiling API updates. Major stability fixes were implemented to improve data quality and runtime robustness. The team also advanced release readiness with changelog hygiene and version bumps, ensuring a smoother go-to-market for the 3.6.x releases. These changes reduce overhead, improve observability, and strengthen platform reliability for iOS apps using the DataDog SDK.
In 2025-12, DataDog/dd-sdk-ios delivered core profiling and observability enhancements, multi-instance persistence support, and CI/build infrastructure improvements. Key work included profiling telemetry and memory-safety improvements with dynamic sampling, app launch telemetry, and centralized safe-read logic to reduce kernel overhead; a major persistence overhaul to support multiple SDK instances and privacy configuration cleanup; logs and observability enhancements with robust status reflection and ObjC Logs API testing; and build/test infrastructure updates to strengthen code signing and integration test pipelines. A bug fix corrected Logs feature reflection in LogMessageReceiver and removed a related warning. Overall impact: higher observability and performance, more flexible deployment with multiple SDK instances, improved reliability of CI pipelines, and stronger privacy alignment across the SDK."
In 2025-12, DataDog/dd-sdk-ios delivered core profiling and observability enhancements, multi-instance persistence support, and CI/build infrastructure improvements. Key work included profiling telemetry and memory-safety improvements with dynamic sampling, app launch telemetry, and centralized safe-read logic to reduce kernel overhead; a major persistence overhaul to support multiple SDK instances and privacy configuration cleanup; logs and observability enhancements with robust status reflection and ObjC Logs API testing; and build/test infrastructure updates to strengthen code signing and integration test pipelines. A bug fix corrected Logs feature reflection in LogMessageReceiver and removed a related warning. Overall impact: higher observability and performance, more flexible deployment with multiple SDK instances, improved reliability of CI pipelines, and stronger privacy alignment across the SDK."
November 2025: Delivered profiling stability and safety enhancements for dd-sdk-ios alongside a data store versioning fix, delivering tangible reliability improvements and stronger testability. Key features include TSAN-aware profiling, a new profiling settings data store, manual profiling controls for testing, and memory-read safety improvements, plus test infrastructure tweaks for TSAN-related integration tests. A separate data store fix bumped the version to 1 and simplified how app state is stored and retrieved, with tests adjusted accordingly. Overall, these efforts reduce profiling crashes, improve memory safety, and simplify test coverage, delivering solid business value for runtime stability and developer productivity.
November 2025: Delivered profiling stability and safety enhancements for dd-sdk-ios alongside a data store versioning fix, delivering tangible reliability improvements and stronger testability. Key features include TSAN-aware profiling, a new profiling settings data store, manual profiling controls for testing, and memory-read safety improvements, plus test infrastructure tweaks for TSAN-related integration tests. A separate data store fix bumped the version to 1 and simplified how app state is stored and retrieved, with tests adjusted accordingly. Overall, these efforts reduce profiling crashes, improve memory safety, and simplify test coverage, delivering solid business value for runtime stability and developer productivity.
October 2025 performance summary for DataDog/dd-sdk-ios focused on strengthening startup visibility, profiling integration, and API surface for RUM. The work delivered a cohesive set of enhancements across app launch instrumentation, profiling, and cross-language API exposure, enabling deeper performance insights and faster iteration cycles.
October 2025 performance summary for DataDog/dd-sdk-ios focused on strengthening startup visibility, profiling integration, and API surface for RUM. The work delivered a cohesive set of enhancements across app launch instrumentation, profiling, and cross-language API exposure, enabling deeper performance insights and faster iteration cycles.
September 2025 focused on delivering the Datadog SDK 3.x major release, strengthening RUM telemetry and data models, and refreshing release workflows across three repositories. The month culminated in a smooth upgrade path for customers, improved telemetry accuracy, and comprehensive documentation to support migrations from previous versions.
September 2025 focused on delivering the Datadog SDK 3.x major release, strengthening RUM telemetry and data models, and refreshing release workflows across three repositories. The month culminated in a smooth upgrade path for customers, improved telemetry accuracy, and comprehensive documentation to support migrations from previous versions.
August 2025 – DataDog/dd-sdk-ios: Strengthened data quality, performance visibility, and upgrade readiness through device context propagation, RUM performance measurement, privacy-aligned session replay, and API cleanup for v3.0 with updated docs. Business value centers on accurate telemetry, faster issue diagnosis, and a smoother developer migration path.
August 2025 – DataDog/dd-sdk-ios: Strengthened data quality, performance visibility, and upgrade readiness through device context propagation, RUM performance measurement, privacy-aligned session replay, and API cleanup for v3.0 with updated docs. Business value centers on accurate telemetry, faster issue diagnosis, and a smoother developer migration path.
July 2025: DataDog/dd-sdk-ios progressed RUM reliability and performance instrumentation with a focus on ensuring accurate attribution for expired user actions, expanding performance monitoring capabilities, and stabilizing data collection across RUM events. Key work included fixing global attributes propagation for expired actions, introducing an experimental view loading times API via an updated Objective-C interface, refining TNS calculation with resource metrics and better background-state handling, and addressing conflicts in the RUM module to improve test stability.
July 2025: DataDog/dd-sdk-ios progressed RUM reliability and performance instrumentation with a focus on ensuring accurate attribution for expired user actions, expanding performance monitoring capabilities, and stabilizing data collection across RUM events. Key work included fixing global attributes propagation for expired actions, introducing an experimental view loading times API via an updated Objective-C interface, refining TNS calculation with resource metrics and better background-state handling, and addressing conflicts in the RUM module to improve test stability.
June 2025 monthly summary: Delivered core RUM and error reporting enhancements across dd-sdk-ios and rum-events-format, improved stability through deprecation cleanup, and prepared for the 2.29.0 release. Business value focused on consistency, coverage, performance, and onboarding for platform integrations and customers.
June 2025 monthly summary: Delivered core RUM and error reporting enhancements across dd-sdk-ios and rum-events-format, improved stability through deprecation cleanup, and prepared for the 2.29.0 release. Business value focused on consistency, coverage, performance, and onboarding for platform integrations and customers.
May 2025 focused on architectural modernization, API surface stabilization, and reliability improvements for dd-sdk-ios. Delivered major features and fixes that simplify tracing, improve view attribute accuracy, and enhance release readiness with a version bump to 2.28.0 and comprehensive changelog updates. These efforts reduce maintenance burden, accelerate module onboarding, and improve data fidelity for RUM/Logs/Trace. Demonstrated cross-module OC/Swift interoperability, API surface governance, and instrumentation consolidation to support scalable product growth.
May 2025 focused on architectural modernization, API surface stabilization, and reliability improvements for dd-sdk-ios. Delivered major features and fixes that simplify tracing, improve view attribute accuracy, and enhance release readiness with a version bump to 2.28.0 and comprehensive changelog updates. These efforts reduce maintenance burden, accelerate module onboarding, and improve data fidelity for RUM/Logs/Trace. Demonstrated cross-module OC/Swift interoperability, API surface governance, and instrumentation consolidation to support scalable product growth.
April 2025 (DataDog/dd-sdk-ios) focused on bolstering performance observability, stabilizing the testing pipeline, and reducing CI maintenance overhead. Delivered user-facing App Hitches telemetry in RUM, advanced the testing infrastructure with a standardized TestUtilities as the mocks source of truth, and cleaned up test scaffolding while fixing environment-related test failures.
April 2025 (DataDog/dd-sdk-ios) focused on bolstering performance observability, stabilizing the testing pipeline, and reducing CI maintenance overhead. Delivered user-facing App Hitches telemetry in RUM, advanced the testing infrastructure with a standardized TestUtilities as the mocks source of truth, and cleaned up test scaffolding while fixing environment-related test failures.
Concise monthly summary for 2025-03 focusing on key accomplishments, business value, and technical achievements. Highlights include feature delivery for RUM App Hitches in dd-sdk-ios with performance metrics and feature-flag rollout, RUM schema evolution to capture slow frames and freeze rate, and cross-repo data model alignment enabling richer analytics. No major bug fixes were recorded this period; the focus was on delivering measurable business value and improving observability.
Concise monthly summary for 2025-03 focusing on key accomplishments, business value, and technical achievements. Highlights include feature delivery for RUM App Hitches in dd-sdk-ios with performance metrics and feature-flag rollout, RUM schema evolution to capture slow frames and freeze rate, and cross-repo data model alignment enabling richer analytics. No major bug fixes were recorded this period; the focus was on delivering measurable business value and improving observability.
In February 2025, DataDog/dd-sdk-ios delivered stability improvements to crash report generation by updating PLCrashReporter to 1.12.0, introducing a maximum crash report size to avoid oversized reports, and adding tests to validate the size limit. This work, aligned with RUM-7419, reduces App Hang backtrace failures and enhances the reliability of crash data collection for observability and debugging. The changes focus on a targeted bug fix with clear business value: fewer failed crash reports, more reliable telemetry, and faster issue diagnosis for SDK integrations.
In February 2025, DataDog/dd-sdk-ios delivered stability improvements to crash report generation by updating PLCrashReporter to 1.12.0, introducing a maximum crash report size to avoid oversized reports, and adding tests to validate the size limit. This work, aligned with RUM-7419, reduces App Hang backtrace failures and enhances the reliability of crash data collection for observability and debugging. The changes focus on a targeted bug fix with clear business value: fewer failed crash reports, more reliable telemetry, and faster issue diagnosis for SDK integrations.
January 2025 monthly summary for DataDog/dd-sdk-ios focusing on RUM Monitoring enhancements and reliability improvements. Delivered bulk global attributes management API (addAttributes and removeAttributes) with Swift/Objective-C interface updates and changelog documentation; stabilized RUM session tests, fixed minor Monitor.swift typo, and clarified TLV data length constant across DatadogCore. These changes enhance observability, reduce release risk, and improve maintainability.
January 2025 monthly summary for DataDog/dd-sdk-ios focusing on RUM Monitoring enhancements and reliability improvements. Delivered bulk global attributes management API (addAttributes and removeAttributes) with Swift/Objective-C interface updates and changelog documentation; stabilized RUM session tests, fixed minor Monitor.swift typo, and clarified TLV data length constant across DatadogCore. These changes enhance observability, reduce release risk, and improve maintainability.
December 2024 performance summary for DataDog SDKs focused on telemetry quality, data integrity, and release reliability. Delivered key features to improve telemetry sampling accuracy and RUM data quality, enhanced data models, and strengthened CI/CD gating for CocoaPods. Simultaneously resolved critical RUM attribute handling issues and expanded telemetry schema in rum-events-format, enabling more precise analytics and safer, faster releases. These efforts improve data-driven decision making, reduce risk in production deployments, and showcase strong engineering execution across Swift-based iOS SDKs and TypeScript definitions.
December 2024 performance summary for DataDog SDKs focused on telemetry quality, data integrity, and release reliability. Delivered key features to improve telemetry sampling accuracy and RUM data quality, enhanced data models, and strengthened CI/CD gating for CocoaPods. Simultaneously resolved critical RUM attribute handling issues and expanded telemetry schema in rum-events-format, enabling more precise analytics and safer, faster releases. These efforts improve data-driven decision making, reduce risk in production deployments, and showcase strong engineering execution across Swift-based iOS SDKs and TypeScript definitions.
November 2024: Stabilized RUM CPU vital tests in dd-sdk-ios by implementing repetition-based averaging across multiple runs, reducing flaky failures and improving CI reliability; ensured CPU metrics reflect typical usage, enabling faster feedback and more reliable releases. (RUM-6583, commit 6f5d8195a7b8a96ea33baf5c2b88488dbe0747e3).
November 2024: Stabilized RUM CPU vital tests in dd-sdk-ios by implementing repetition-based averaging across multiple runs, reducing flaky failures and improving CI reliability; ensured CPU metrics reflect typical usage, enabling faster feedback and more reliable releases. (RUM-6583, commit 6f5d8195a7b8a96ea33baf5c2b88488dbe0747e3).
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